There is a genre of software problem that goes like this. A finance team has two options, and both are bad. Option one is a spreadsheet, which is infinitely flexible and also breaks the moment someone drags a cell into the wrong column at 11pm before the board meeting. Option two is an enterprise planning platform, which does not break, because you are not allowed to touch it without filing a ticket and paying a consultant. Drivetrain's entire pitch is that there should be an option three.
Drivetrain, founded in 2021 and headquartered in Sunnyvale with outposts in New York, Toronto and Bengaluru, builds what it calls an AI-native FP&A platform. FP&A stands for financial planning and analysis, which is the part of a company that answers questions like "how much money will we have in nine months" and "can we afford to hire twelve engineers" and, crucially, "why was last month's number different from the number we told everyone last month it would be." These are important questions. Historically they have been answered by a small number of very tired people maintaining very large spreadsheets.
The founders came at the problem from an unusual angle. Alok Goel, the CEO, spent years at Google leading products including AdSense, then ran FreeCharge as CEO, then became a partner at Elevation Capital, where his job was to look at SaaS companies and decide whether they would grow. Which is to say: he spent a long time on the investor side of the table, watching finance teams try to explain their own numbers, and eventually decided the tooling was the bottleneck. He recruited Tarkeshwar Thakur, a former Google and Freshworks engineer, to build it, and Saurav Bhagat, who had run the SaaS practice at Elevation, to shape the product.
"Drivetrain is on a mission to enable businesses to make better decisions through strategic finance planning."
- Drivetrain, company mission
The reason this matters is a little philosophical. A CFO's most valuable output is not a report. It is a decision, made with enough confidence to be defensible and enough speed to still be relevant. The gap between "we have the data somewhere" and "we can act on it now" is where most finance teams live, and it is mostly filled with copy-paste. Drivetrain's argument is that if you automate the plumbing - pulling live data out of every system, reconciling it, and keeping the model current - the humans get to go back to the part of the job that actually requires a human.
So the product connects. It plugs into more than 800 business systems: ERP tools like NetSuite, QuickBooks, Xero and SAP; CRMs like Salesforce and HubSpot; HR and payroll systems like Workday, ADP, BambooHR and Rippling; billing engines; and cloud data warehouses like Snowflake, Databricks and BigQuery. Then it presents all of it back to you in an interface that looks and behaves like a spreadsheet, because finance people already know how to use a spreadsheet and do not want to attend a training.
That last detail is the whole strategy in miniature. Drivetrain positions itself directly against Anaplan and Pigment - the incumbents of enterprise planning - and its core complaint about them is not that they are bad but that they are heavy. They require specialists. They require maintenance. They require, in the company's telling, that you rebuild your model every time the business changes, which for a growing company is roughly always. Drivetrain's counter is: keep the flexibility of the spreadsheet, remove the fragility, and hand control back to the person who actually owns the number.
Then there is the AI, which in most software of this vintage is a chatbot bolted onto a login screen and safely ignored. Drivetrain's version, branded Drive AI, is more load-bearing. Point it at your raw ERP, CRM and HRIS data and its Model Generator will produce a baseline three-statement financial model, a revenue forecast and a headcount plan - the blank-page problem in FP&A, solved in a few minutes rather than a few weeks. An AI Analyst answers questions in plain language. Anomaly detection watches revenue, spend and headcount for patterns that look wrong and pings you on Slack before the variance becomes a surprise. And "Transforms" lets you reshape messy data with an English sentence instead of a nested formula.
In October 2025 the company did something genuinely novel: it shipped what it says is the first Model Context Protocol server built for finance. MCP is the emerging standard for letting AI assistants reach into real systems, and Drivetrain's implementation means a CFO can ask a question of their own live financial data from inside Claude or ChatGPT - with the company's permission controls intact, so the model sees what it is allowed to see and nothing more. It is the difference between an AI that has read about your business and one that can actually look at it.
